t5-small-finetuned-breton-plus-cy-kw-2 – AI Model by Jendersen | AlphaNeural AI

You can deploy this model and start earning money today!

Jendersen/
t5-small-finetuned-breton-plus-cy-kw-2

like

0

text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

Views

No views yet

Visualize in Trackio

t5-small-finetuned-breton-plus-cy-kw-2

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.6534
Rouge1: 15.7369
Rouge2: 3.1754
Rougel: 13.9102
Rougelsum: 14.0207
Bleu: 0.0054
Chrf++: 7.1111
F1: 25.6897
Gen Len: 19.4503

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu	Chrf++	F1	Gen Len
3.4421	1.0	4411	3.0937	12.7344	1.9793	11.3477	11.4291	0.0034	5.7415	22.5453	19.5236
3.1226	2.0	8822	2.8109	14.6797	2.6606	12.9787	13.0713	0.0046	6.6393	24.3985	19.4969
2.9845	3.0	13233	2.6895	15.4935	3.0809	13.6935	13.8037	0.0052	6.9966	25.2989	19.4651
2.9469	4.0	17644	2.6534	15.7369	3.1754	13.9102	14.0207	0.0054	7.1111	25.6897	19.4503

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2